Automatic entity basic information generation system and method based on Markov model

A technology for automatic generation and basic information, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of not considering dependencies, etc.

Active Publication Date: 2012-08-22
NO 63 RES INST HEADQUARTERS OF THE GENERAL STAFF PLA
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  • Application Information

AI Technical Summary

Problems solved by technology

The personnel file simulation data generation system can generate attribute values ​​such as the name, gender, nationality, date of birth, place of origin, political appearance, education, and degree of the personnel; the system uses the random number function to randomly select the value of a given field to generate each attribute value, But it does not consider the distribution of each attribute value and the dependency between attribute values

Method used

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  • Automatic entity basic information generation system and method based on Markov model
  • Automatic entity basic information generation system and method based on Markov model
  • Automatic entity basic information generation system and method based on Markov model

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Embodiment Construction

[0049] Embodiments of the present invention will be described in detail below, and the embodiments described by referring to the accompanying drawings are exemplary, and are only used to explain the present invention, and cannot be construed as limiting the present invention.

[0050] For an ordered enumerated attribute set (tuple) G=1 , a 2 ,...,a n >, the domain corresponding to each attribute is V=[V 1 , V 2 ,...,V n ],in i=1, 2,..., n is the specific value range, first group the enumerated attributes according to the following principles:

[0051] 1) Divide the attributes that have a mapping relationship into a group, so that each attribute belongs to and only belongs to one group;

[0052] 2) For the enumeration-type attribute group divided by 1), two different enumeration-type groups in a relationship are independent of each other, and are processed separately when generating data.

[0053] Each attribute in the resulting group has different priority order when th...

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Abstract

The invention provides an automatic entity basic information generation system and method based on a Markov model, which are suitable for generating basic data of a test and trial scene of an information system. Entity attribute data relating to the system and the method has an enumeration type characteristic. The method comprises a step of defining an attribute priority sequence, a step of constructing a multiple-valued depended statistical decision tree and a step of carrying out parameter study and pruning algorithm. The system comprises a device for defining attribute priority sequence, a device for constructing the multiple-valued depended statistical decision tree and a device for carrying out the parameter study and the pruning algorithm.

Description

1. Technical field [0001] The invention relates to a system and method for automatically generating basic entity information based on a Markov model, which is suitable for generating basic data in information system tests and trial scenarios, and particularly relates to automatic generation of basic attribute data with enumerated features. 2. Technical background [0002] Information system simulation data generation is to quickly generate information system simulation data by means of computer simulation. From the perspectives of timeliness, security, and economy, information systems need to generate information system simulation data in scenarios such as tests and trials. [0003] Currently, relational data is mainly used in information systems, and the relationship between entities in relational data is divided into one-to-one relationship, one-to-many relationship, and many-to-many relationship. For example, according to the "Regulations on Military Ranks of Chinese Peo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 曹建军刁兴春张慧邓波邹攀红谭明超
Owner NO 63 RES INST HEADQUARTERS OF THE GENERAL STAFF PLA
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